ElasticSearch Engineer
6 days ago
We are seeking a seasoned ElasticSearch Engineer to design and implement scalable, reliable, and efficient data solutions.
About the Job:
- Job Title: ElasticSearch Engineer - Scalable Data Solutions
- Estimated Salary: $150,000 - $200,000 per year, based on location and experience
In this role, you will utilize ElasticSearch analyzers to process and analyze large volumes of data efficiently. You will set up multiple data pipelines and EDAs through Amazon SageMaker, utilizing AWS components and deployments.
Key Responsibilities:
- Design and implement scalable, reliable, and efficient data solutions using ElasticSearch and Python.
- Collaborate with data scientists to solve complex business problems and bring data literacy across the organization.
- Develop expertise in MLops tools such as MLflow and Weights and Biases.
- Leverage knowledge of AWS components and deployments to optimize data pipelines.
- Communicate technical concepts effectively to both technical and non-technical stakeholders.
Requirements:
- Minimum 5 years of experience in ElasticSearch and Python.
- Strong understanding of data engineering principles and practices.
- Experience with large volumes of data, Pandas, NumPy, Dask, API development, basic MLOps, unstructured text data wrangling, exploratory analysis, insights, stakeholder communication, team leadership, and public dataset scouting.
- Excellent problem-solving skills and ability to design creative solutions to data engineering challenges.
Benefits:
- A competitive salary range of $150,000 - $200,000 per year, based on location and experience.
- Ongoing training and professional development opportunities.
- The chance to work with a talented team of data engineers and scientists.
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